Account-Based Marketing in 2026: How the Model Works

Account-based marketing (ABM) is a B2B go-to-market model in which sales and marketing choose target accounts together and run coordinated plays against every buyer inside each one. In Momentum ITSMA's 2024 Global ABM Benchmark, 81% of marketers reported higher ROI from ABM than from their other marketing programs. The return depends on how the program is run, not on which software runs it.

Part of EPR's B2B Marketing guide. Read the companion pieces on why the MQL fails and B2B attribution and the dark funnel.

What is account-based marketing and where did the term come from?

Account-based marketing is a B2B strategy that treats each target account as its own market and directs effort at the whole buying group inside it, not at one contact moving through a funnel. ITSMA, the B2B marketing research group, coined the term in 2003, according to a 2017 Demandbase announcement of its ITSMA partnership.

ABM is not a campaign and it is not a tool. It is an operating model with three parts: one account list that sales and marketing build together, a set of coordinated plays across channels, and a scorecard that tracks account progress instead of contact activity. Many martech vendors now label any account filter as ABM. A filter alone supplies none of the three parts.

How do the three ABM tiers differ?

The three ABM tiers differ by how many accounts a team serves and how much custom work each account receives. Most mature programs run all three at once, giving the most effort to the accounts that carry the most revenue.

One-to-few is the tier where most B2B teams start. It allows real personalization without the research load of one-to-one, and it produces enough accounts to compare which messages work.

What does an ABM technology stack include?

An ABM technology stack has four layers: data, engagement, personalization and measurement. Each layer answers one question, and the stack fails at the point where a layer cannot pass its output to the next.

The link between intent data and the CRM matters most. Without it, an account score never reaches the sales rep who owns that account, so a spike in research activity changes nothing about who gets a call.

How do you measure ABM success?

ABM success is measured at the account level: how many target accounts engage, how fast they move toward a purchase, and how many become pipeline. Contact-level counts such as form fills hide whether a buying committee is moving.

Track three questions every quarter. What share of target accounts had at least two marketing touchpoints in the last 90 days? How much pipeline sits against the target list? What is the win rate on deals where marketing ran coordinated plays, compared with deals sourced by outbound alone?

Add one leading indicator: account engagement velocity, the speed at which an account moves from low to high engagement in the intent platform. An account that jumps from minimal activity to heavy research in six weeks may have started a purchase process. Proving ROI is still the hardest part. Demand Gen Report's 2025 ABM Benchmark Survey lists proving ROI as the top challenge, at 47% of practitioners.

Why do ABM programs stall?

ABM programs stall most often when marketing runs them without sales. In the same Demand Gen Report survey, 43% of practitioners named sales and marketing alignment as a top challenge, and 40% named scaling programs.

The mechanism is simple. When marketing picks accounts in its own spreadsheet, sales has no stake in the list and ignores the air cover marketing creates. When both teams pick accounts in a joint planning session, each account has a named sales owner and a named marketing owner from day one. Hold that session before buying any platform.

How do AI answer engines change ABM in 2026?

AI answer engines add a research channel that sits before the first sales meeting. A buying committee member at a target account can ask ChatGPT, Perplexity or Google AI Overviews which vendors serve a category, and the answer names a shortlist before any vendor sees the visit.

Test this. Ask each engine the category questions your target accounts would ask, and record which vendors it names. If your brand is missing, the accounts you are targeting may not see you at the stage where shortlists form. EPR covers how those answers are formed in Who Controls the B2B Marketing Answer in AI Engines.

What should a B2B team do first?

A B2B team should start by building the account list with sales in one joint session, then assign a sales owner and a marketing owner to every account. After that, pick one tier, run it for a full quarter, and report account progress instead of lead counts. Add the AI answer check to the quarterly review so category visibility is measured next to pipeline.